Danielle Buckley
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Vibrio bacteria research studies
Papers in
- Genetics 4
- Blood disorders and treatments 2
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- Bacterial biofilms and quorum sensing 1
- Co-authors
- Rajinder Kaul (4 shared papers)Maynard V. Olson (5 shared papers)Samuel I. Miller (2 shared papers)Zaining Wu (2 shared papers)Lucas R. Hoffman (1 shared paper)Samuel M. Moskowitz (1 shared paper)David A. D’Argenio (1 shared paper)Jane L. Burns (1 shared paper)
- Journals
- The Journal of Pediatrics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Blood (1 paper)Genetics (1 paper)International journal of exercise science (1 paper)
- Partner nations
- United StatesCzechiaSweden
In The Last Decade
Danielle Buckley
7 papers receiving 1.3k citations
Danielle Buckley's Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Medicine 367
- Endocrinology 215
- Genetics 481
- Molecular Biology 866
- Pulmonary and Respiratory Medicine 329
Countries citing papers authored by Danielle Buckley
This map shows the geographic impact of Danielle Buckley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danielle Buckley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Buckley more than expected).
Fields of papers citing papers by Danielle Buckley
This network shows the impact of papers produced by Danielle Buckley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danielle Buckley. The network helps show where Danielle Buckley may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Buckley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Genetic adaptation by Pseudomonas aeruginosa to the airways of cystic fibrosis patients Hit paper breakdown → | 2006 | 1056 |
| 2 | 2006 | 94 | |
| 3 | 2006 | 72 | |
| 4 | 2007 | 40 | |
| 5 | 2006 | 39 | |
| 6 | 2004 | 1 | |
| 7 | 2012 | 1 |
About Danielle Buckley
Danielle Buckley is a scholar working on Genetics, Molecular Biology, Physiology, General Health Professions and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (2 papers), Blood disorders and treatments (2 papers), Obesity, Physical Activity, Diet (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Chromosomal and Genetic Variations (1 paper), Mobile Health and mHealth Applications (1 paper), Cystic Fibrosis Research Advances (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Molecular Medicine (367 citations), Endocrinology (215 citations), Genetics (481 citations), Molecular Biology (866 citations) and Pulmonary and Respiratory Medicine (329 citations). Danielle Buckley has collaborated with scholars based in United States, Czechia and Sweden. Frequent co-authors include Rajinder Kaul, Maynard V. Olson, Samuel I. Miller, Zaining Wu, Lucas R. Hoffman, Samuel M. Moskowitz, David A. D’Argenio, Jane L. Burns, Bonnie W. Ramsey and David P. Speert. Their work appears in journals such as The Journal of Pediatrics, Proceedings of the National Academy of Sciences, Blood, Genetics and International journal of exercise science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.